This readme file was generated on [2025-03-24] by [Peter Innes]


GENERAL INFORMATION

Title of Dataset: A comparison of the growth and yield of perennial cereals under different defoliation practices in two contrasting environments - observed data


Author/Principal Investigator Information
Name: Peter Innes
ORCID:0000-0003-1472-925X
Institution: University of Southern Queensland
Address: Toowoomba Queensland Australia
Email: peter.innes@usq.edu.au

Author/Associate or Co-investigator Information
Name: Keith Pembleton
ORCID:
Institution: University of Southern Queensland
Address: Toowoomba Queensland Australia
Email: Keith.Pembleton@unisq.edu.au


Date of data collection: 1st May 2022 - 1st May 2024 

Geographic location of data collection: Cowra, NSW, Australia and Pittsworth, Queensland, Australia

Information about funding sources that supported the collection of the data: Australian Government Research Training Program Scholarship


SHARING/ACCESS INFORMATION

Licenses/restrictions placed on the data: CC BY-NC 4.0

Links to publications that cite or use the data: na

Links to other publicly accessible locations of the data: na

Links/relationships to ancillary data sets: na

Was data derived from another source? no
If yes, list source(s): 

Recommended citation for this dataset: 
Innes, Peter. 2025. A comparison of the growth and yield of perennial cereals under different defoliation practices in two contrasting environments - observed data. University of Southern Queensland. https://doi.org/10.26192/zww80


DATA & FILE OVERVIEW

File List: PG-FieldExperimentObserved.xlsx

Additional related data collected that was not included in the current data package: 
 no
Are there multiple versions of the dataset? no


METHODOLOGICAL INFORMATION

Description of methods used for collection/generation of data: Data were collected from perennials grains field growth experiments at Cowra NSW and Pittsworth Queensland

Methods for processing the data: The data includes both the raw observations and the means of each of the four replicates

Instrument- or software-specific information needed to interpret the data: Microsoft Office 365
Standards and calibration information, if appropriate: 

Environmental/experimental conditions: Grown as field crops

Describe any quality-assurance procedures performed on the data: checks for outliers

People involved with sample collection, processing, analysis and/or submission: Peter Innes